Image Fusion has attracted a widespread attention owing to applications in medical imaging. It deals with integrating data obtained from different sources of information for intelligent systems. Image fusion provides output as a single image from a set of input images. Different approaches in image fusion provide different type of results for different applications. Fuzzy and Neuro Fuzzy techniques are very useful in medical imaging and other areas, where quality of the image is more important than the real time applications. The values of different parameters vary according to regions, that is, the normal region and the infected region have different values. Hence by finding the values of infected regions of various samples, we can frame fuzzy rules, based on which defect in the organs can be identified. In my project, images are fused and different parameters are obtained using Fuzzy and Neuro Fuzzy techniques and the comparative analysis is made.